Matteo Scandella

Position

Assistant Professor

Email

matteo.scandella@unibg.it

Matteo Scandella was born in Clusone (BG), Italy, on 29th December 1992.
He received the Bachelor Degree in Computer Science Engineering in 2014 from the Università degli Studi di Bergamo (Italy) and the Master Degree in Computer Science Engineering in 2016, with a thesis about algorithms for the semi-supervised indetification of non linear dynamical system. In 2019 he got his PhD degree in Control Systems (in the PhD program in Engineering and Applied Sciences) at the Università degli Studi di Bergamo with a thesis on “Regularized kernel-based learning for system identication”.

From July 2020 he was a post-doc researcher at Imperial College in London (UK). Since February 2024 he is Assistant Professor at University of Bergamo.

Publications

2022
Kernel-based system identification with manifold regularization: A Bayesian perspective
Mazzoleni, M., Chiuso, A., Scandella, M., Formentin, S., Previdi, F.
Automatica, 2022, Vol. 142, Article num. 110419
ISSN: 00051098
DOI: 10.1016/j.automatica.2022.110419
2021
Kernel-based identification of asymptotically stable continuous-time linear dynamical systems
M. Scandella, M. Mazzoleni, S. Formentin, F. Previdi

International Journal of Control
DOI: 10.1080/00207179.2020.1868580

2020
Data on the first endurance activity of a Brushless DC motor for aerospace applications
M. Mazzoleni, M. Scandella, F. Previdi

Elsevier Data in Brief
DOI: 10.1016/j.dib.2020.105153.
ISSN: 2352-3409, vol. 29.

Black-box continuous-time transfer function estimation with stability guarantees: a kernel-based approach
M. Mazzoleni, M. Scandella, S. Formentin, F. Previdi

2nd Learning for Dynamic and Control (L4DC) conference, June 10-11th, 2020, University of California, Berkeley, CA.

KBERG: A MatLab toolbox for nonlinear kernel-based regularization and system identification
M. Mazzoleni, M. Scandella, F. Previdi

21st IFAC World Congress, Berlin, Germany, July 12-17, 2020
Volume 53, Issue 2, Pages 1231-1236,
ISSN: 2405-8963,
DOI: 10.1016/j.ifacol.2020.12.1340.

Mechatronics applications of condition monitoring using a statistical change detection method
M. Mazzoleni, M. Scandella, L. Maurelli, F. Previdi

21st IFAC World Congress, Berlin, Germany, July 12-17, 2020
Volume 53, Issue 2, Pages 92-97,
ISSN: 2405-8963,
DOI: 10.1016/j.ifacol.2020.12.100.

Enhanced kernels for nonparametric identification of a class of nonlinear systems
M. Mazzoleni, M. Scandella, S. Formentin, F. Previdi

18th EUCA European Control Conference (ECC)
DOI: 
10.23919/ECC51009.2020.9143785
ISBN: 978-1-7281-8813-3

A note on the numerical solutions of kernel-based learning problems
M. Scandella, M. Mazzoleni, S. Formentin, F. Previdi

IEEE Transactions on Automatic Control, 2020
Print ISSN: 0018-9286
Online ISSN: 1558-2523
DOI: 10.1109/TAC.2020.2989769

2019
A comparison of manifold regularization approaches for kernel-based system identification
M. Mazzoleni, M. Scandella, F. Previdi

13th IFAC Workshop on Adaptive and Learning Control Systems (ALCOS 2019), Guildhall Winchester, Winchester, United Kingdom.
DOI: 10.1016/j.ifacol.2019.12.641
ISSN: 2405-8963

Experimental development of a Health Monitoring method for Electro-Mechanical Actuators of flight control primary surfaces in More Electric Aircrafts
M. Mazzoleni, F. Previdi, M. Scandella, G. Pispola

IEEE Access, Vol. 7, N. 1, pp. 153618 – 153634, 2019
DOI https://10.1109/ACCESS.2019.2948781
ISSN: 2169-3536

Nonlinear system identification via data augmentation
S. Formentin, M. Mazzoleni, M. Scandella, F. Previdi

Systems & Control Letters, Vol. 128 (2019) pp. 56–63.
DOI: https://doi.org/10.1016/j.sysconle.2019.04.004
ISSN: 0167-6911

2018
Classification of light charged particles via learning-based system identification
M. Mazzoleni, M. Scandella, S. Formentin, F. Previdi

57th IEEE Conference on Decision and Control (CDC), Miami Beach (FL), USA, 2018.
DOI: 10.1109/CDC.2018.8618946
ISBN: 978-1-5386-1395-5.

Condition monitoring of electro-mechanical actuators for aerospace using batch change detection algorithms
M. Mazzoleni, M. Scandella, Y. Maccarana, F. Previdi, G. Pispola, N. Porzi

Proceedings of the 2nd IEEE Conference on Control Technology and Applications (CCTA), Copenhagen (DK)
DOI: 10.1109/CCTA.2018.8511334
ISBN: 978-1-5386-7698-1

Condition assessment of electro-mechanical actuators for aerospace using relative density-ratio estimation
M. Mazzoleni, M. Scandella, Y. Maccarana, F. Previdi, G. Pispola, N. Porzi

Proceedings of the 18th IFAC Symposium on System Identification (SYSID), Stockholm (SE)
DOI: 10.1016/j.ifacol.2018.09.070
ISSN: 2405-8963

Identification of nonlinear dynamical system with synthetic data: a preliminary investigation
M. Mazzoleni, M. Scandella, S. Formentin, F. Previdi

Proceedings of the 18th IFAC Symposium on System Identification (SYSID), Stockholm (SE)
DOI:  10.1016/j.ifacol.2018.09.227 
ISSN: 2405-8963

Development and Experimental Testing of a Health Monitoring System of Electro-Mechanical Actuators for Small Airplanes
F. Previdi, Y. Maccarana, M. Mazzoleni, M. Scandella, G. Pispola, N. Porzi

Proceedings of the 26th Mediterranean Conference on Control and Automation (MED), Zadar (HR)
DOI: 10.1109/MED.2018.8442734
ISSN: 2473-3504

Semi-supervised learning of dynamical systems: a preliminary study
M. Mazzoleni, S. Formentin, M. Scandella, F. Previdi

Proceedings of the 17th IEEE European Control Conference (ECC), Lymassol (CY)
DOI: 10.23919/ECC.2018.8550550
ISBN: 978-3-9524-2698-2

Kernel manifold regression for the coupled electric drives dataset
M. Mazzoleni, M. Scandella, F. Previdi

3rd Nonlinear System Identification Benchmarks Workshop, Liege (BE)